About Us

At Undocked, we help companies excel in e-commerce by delivering bespoke optimizations and cutting-edge analytics. Our experiences in retail and supply chain product strategy, technology and operations have helped organizations succeed in their e-commerce and digital transformation journeys. Job Summary

We are seeking a hands-on AWS Cloud & Data Platform Engineer to actively develop and scale a serverless, AWS-based data and BI platform. The role involves building event-driven data pipelines, API integrations, and cloud-native services using AWS Lambda, modern ETL patterns, and strong engineering best practices. You will work closely with cross-functional teams across application engineering, IT, OT, and DevOps to accelerate the delivery of a production-grade analytics and integration platform.

This is a development-focused role, not a support or reporting position. Key Responsibilities

AWS Cloud Engineering

Design, develop, and operate serverless solutions using AWS Lambda, API Gateway, S3, EventBridge, SNS/SQS

Implement secure networking using VPCs, IAM roles, and security best practices

Monitor and optimize solutions using CloudWatch metrics, logs, and alarms

Data Pipelines & ETL

Build and enhance serverless data pipelines using AWS Lambda and Glue

Design event-driven and API-based ingestion architectures

Perform data modeling and transformations for analytics and BI use cases

API Development & Integration

Design and implement RESTful APIs using API Gateway and Lambda

Integrate with internal and external systems using secure API and webhook-based patterns

Define and maintain OpenAPI / Swagger specifications





DevOps & Infrastructure as Code

Provision and manage infrastructure using Terraform or AWS CDK

Build and maintain CI/CD pipelines using GitHub Actions or AWS CodePipeline

Automate deployments and enforce repeatable, reliable delivery processes

Observability & Dashboarding

Develop Grafana dashboards for system, pipeline, and business metrics

Implement CloudWatch-based monitoring, alerting, and logging

Visualize and analyze time-series data to support operational and BI insights

Security & Governance

Implement IAM modeling, secrets management, encryption, and audit logging

Enforce cloud security, governance, and compliance best practices

Cross-Functional Collaboration

Produce clear documentation and architecture diagrams

Collaborate with Application Software Engineering, IT, OT, and DevOps teams

Participate in design discussions and technical decision-making Required Skills & Experience

4-6 years of overall experience in software engineering, cloud engineering, or data engineering

Robust hands-on experience with AWS serverless services (Lambda, API Gateway, EventBridge, S3, SNS/SQS)

Experience building data pipelines and ETL workflows in cloud-native architectures

Proficiency in Python and/or Node.js for backend and Lambda development

Experience with Infrastructure-as-Code (Terraform or AWS CDK)

CI/CD experience with GitHub Actions, CodePipeline, or similar tools

Strong understanding of API design, integration patterns, and security

Experience with Grafana and CloudWatch for observability and dashboards

Experience with Time-series data platforms (InfluxDB or similar)

📌 AWS Cloud & Data Platform Engineer (Bengaluru)
🏢 Undocked
📍 Bengaluru